Palantir Technologies (PLTR) Accumulated Expenses (2019 - 2026)
Palantir Technologies (PLTR) recorded Accumulated Expenses of $504.07 million in Q2 2026, up 28.1% from $393.62 million a year earlier.
Palantir Technologies (PLTR) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Palantir Technologies reported Accumulated Expenses of $409.55 million, down 4.1% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $427.05 million in FY2024 (+91.5%), $222.99 million in FY2023 (+29.1%), $172.72 million in FY2022 (+10.9%) and $155.81 million in FY2021 (-1.7%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2019.
- On a year-over-year basis, Accumulated Expenses rose in six of the last seven quarters, with growth averaging 56.1%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 101.4% in Q2 2025, against a decline of 61.6% in Q3 2021 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 623.89 Mn |
| Jun 30, 2026 | 504.07 Mn |
| Dec 31, 2025 | 409.55 Mn |
| Sep 30, 2025 | 381.74 Mn |
| Jun 30, 2025 | 393.62 Mn |
| Mar 31, 2025 | 371.06 Mn |
| Dec 31, 2024 | 427.05 Mn |
| Sep 30, 2024 | 265.24 Mn |
| Jun 30, 2024 | 195.49 Mn |
| Mar 31, 2024 | 206.03 Mn |
| Dec 31, 2023 | 222.99 Mn |
| Sep 30, 2023 | 174.75 Mn |
| Jun 30, 2023 | 184.62 Mn |
| Mar 31, 2023 | 174.53 Mn |
| Dec 31, 2022 | 172.72 Mn |
| Sep 30, 2022 | 164.70 Mn |
| Jun 30, 2022 | 187.57 Mn |
| Mar 31, 2022 | 150.18 Mn |
| Dec 31, 2021 | 155.81 Mn |
| Sep 30, 2021 | 179.47 Mn |
Palantir Technologies Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();